Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia
Air pollution is responsible for many adverse effects on human beings. Thermal discomfort, on the other hand, is able to overload the human body and eventually provoke health implications due to the heat imbalance. Methods: The aim of the presented work is to study the behavior of two bio-climatic i...
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Online Access: | https://www.mdpi.com/2073-4433/12/8/1078 |
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doaj-2fe2196592294bd39f7237f82b616ed02021-08-26T13:31:50ZengMDPI AGAtmosphere2073-44332021-08-01121078107810.3390/atmos12081078Computer Simulations of Air Quality and Bio-Climatic Indices for the City of SofiaGeorgi Gadzhev0Kostadin Ganev1National Institute of Geophysics, Geodesy and Geography—Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 3 1113 Sofia, BulgariaNational Institute of Geophysics, Geodesy and Geography—Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 3 1113 Sofia, BulgariaAir pollution is responsible for many adverse effects on human beings. Thermal discomfort, on the other hand, is able to overload the human body and eventually provoke health implications due to the heat imbalance. Methods: The aim of the presented work is to study the behavior of two bio-climatic indices and statistical characteristics of the air quality index for Sofia city—the capital of Bulgaria for the period 2008–2014. The study is based on the WRF-CMAQ model system simulations with a spatial resolution of 1 km. The air quality is estimated by the air quality index, taking into account the influence of different pollutants and the thermal conditions by two indices, respectively, for hot and cold weather. It was found that the recurrence of both the heat and cold index categories and of the air quality categories have heterogeneous space distribution and well manifested diurnal and seasonal variability. For all of the situations, only O<sub>3</sub> and PM<sub>10</sub> are the dominant pollutants—these which determine the AQI category. It was found that AQI1, AQI2, and AQI3, which fall in the “Low” band, have the highest recurrence during the different seasons, up to more than 70% in some places and situations. The recurrence of AQI10 (very high) is rather small—no more than 5% and concentrated in small areas, mostly in the city center. The Heat index of category “Danger” never appears, and the Heat index of category “Extreme caution” appears only in the spring and summer with the highest recurrence of less than 5% in the city center. For the Wind-chill index category, “Very High Risk” never appears, and the category “High Risk” appears with a frequency of about 1–2%. The above leads to the conclusion that both from a point of view of bioclimatic and air quality indices, the human health risks in the city of Sofia are not as high.https://www.mdpi.com/2073-4433/12/8/1078air qualityoutdoor thermal comfortair quality indexheat indexwind chillBulgaria |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Georgi Gadzhev Kostadin Ganev |
spellingShingle |
Georgi Gadzhev Kostadin Ganev Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia Atmosphere air quality outdoor thermal comfort air quality index heat index wind chill Bulgaria |
author_facet |
Georgi Gadzhev Kostadin Ganev |
author_sort |
Georgi Gadzhev |
title |
Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia |
title_short |
Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia |
title_full |
Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia |
title_fullStr |
Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia |
title_full_unstemmed |
Computer Simulations of Air Quality and Bio-Climatic Indices for the City of Sofia |
title_sort |
computer simulations of air quality and bio-climatic indices for the city of sofia |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2021-08-01 |
description |
Air pollution is responsible for many adverse effects on human beings. Thermal discomfort, on the other hand, is able to overload the human body and eventually provoke health implications due to the heat imbalance. Methods: The aim of the presented work is to study the behavior of two bio-climatic indices and statistical characteristics of the air quality index for Sofia city—the capital of Bulgaria for the period 2008–2014. The study is based on the WRF-CMAQ model system simulations with a spatial resolution of 1 km. The air quality is estimated by the air quality index, taking into account the influence of different pollutants and the thermal conditions by two indices, respectively, for hot and cold weather. It was found that the recurrence of both the heat and cold index categories and of the air quality categories have heterogeneous space distribution and well manifested diurnal and seasonal variability. For all of the situations, only O<sub>3</sub> and PM<sub>10</sub> are the dominant pollutants—these which determine the AQI category. It was found that AQI1, AQI2, and AQI3, which fall in the “Low” band, have the highest recurrence during the different seasons, up to more than 70% in some places and situations. The recurrence of AQI10 (very high) is rather small—no more than 5% and concentrated in small areas, mostly in the city center. The Heat index of category “Danger” never appears, and the Heat index of category “Extreme caution” appears only in the spring and summer with the highest recurrence of less than 5% in the city center. For the Wind-chill index category, “Very High Risk” never appears, and the category “High Risk” appears with a frequency of about 1–2%. The above leads to the conclusion that both from a point of view of bioclimatic and air quality indices, the human health risks in the city of Sofia are not as high. |
topic |
air quality outdoor thermal comfort air quality index heat index wind chill Bulgaria |
url |
https://www.mdpi.com/2073-4433/12/8/1078 |
work_keys_str_mv |
AT georgigadzhev computersimulationsofairqualityandbioclimaticindicesforthecityofsofia AT kostadinganev computersimulationsofairqualityandbioclimaticindicesforthecityofsofia |
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